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» Approximate Learning of Dynamic Models
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WEBI
2007
Springer
15 years 11 months ago
Growing Hierarchical Self-Organizing Maps for Web Mining
— Many information retrieval and machine learning methods have not evolved in order to be applied to the Web. Two main problems in applying some machine learning techniques for W...
Joseph P. Herbert, Jingtao Yao
ECCV
2006
Springer
16 years 7 months ago
Sparse Flexible Models of Local Features
Abstract. In recent years there has been growing interest in recognition models using local image features for applications ranging from long range motion matching to object class ...
Gustavo Carneiro, David Lowe
ISBI
2007
IEEE
15 years 11 months ago
Dynamic Texture Based Heart Localization and Segmentation in 4-D Cardiac Images
In this paper we present a dynamic texture based motion segmentation approach to address the challenging problem of heart localization and segmentation in 4D Spatio-temporal cardi...
Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas,...
BC
2002
90views more  BC 2002»
15 years 5 months ago
What can the hippocampal representation of environmental geometry tell us about Hebbian learning?
The importance of the hippocampus in spatial representation is well established. It is suggested that the rodent hippocampal network should provide an optimal substrate for the stu...
Colin Lever, Neil Burgess, Francesca Cacucci, Tom ...
127
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ICANN
2003
Springer
15 years 10 months ago
Expectation-MiniMax Approach to Clustering Analysis
Abstract. This paper proposes a general approach named ExpectationMiniMax (EMM) for clustering analysis without knowing the cluster number. It describes the contrast function of Ex...
Yiu-ming Cheung